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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Vehicle Detection Using Deep Learning and YOLO Algorithm
| Date | Stars |
|---|---|
| 2026-07-24 | 285 |
| 2026-07-25 | 285 |
| 2026-07-28 | 286 |
| 2026-07-30 | 286 |
| 2026-08-06 | 286 |
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# Vehicle Detection > Vehicle Detection Using Deep Learning and YOLO Algorithm.    *(Train YOLO v5 on a Custom Dataset)* <p float="center"> <img src="https://user-images.githubusercontent.com/72157067/156183131-b661ba59-22e5-4c73-b5a9-e0b0855cc68a.jpg" width="600" /> <img src="https://user-images.githubusercontent.com/72157067/156183111-cb0f09bb-cfe1-490f-bccc-335748111107.jpg" width="600" /> </p> ## Installation ```sh git clone https://github.com/MaryamBoneh/Vehicle-Detection cd Vehicle-Detection pip install -r requirements.txt ``` ## Dataset take or find vehicle images for create a special dataset for fine-tuning. Train : 70% Validition : 20% Test : 10% ## Clone Vehicle-Detection Repository ``` git clone https://github.com/MaryamBoneh/Vehicle-Detection cd Vehicle-Detection pip install -r requirements.txt ``` ## wandb to have mAP, loss, confusion matrix, and other metrics, sign in www.wandb.ai. ``` pip install wandb ``` ## Train fine-tuning on a pre-trained model of yolov5. ``` python train.py --img 640 --batch 16 --epochs 50 --data dataset.yaml --weights yolov5m.pt ``` ## Test after train, gives you weights of train and you should use them for test. ``` python detect.py --weights runs/train/exp12/weights/best.pt --source test_images/imtest13.JPG ``` you can also use the weight file in path 'runs/train/exp12/weights/best.pt' without the train. this weight is the result of 128 epoch train on the following dataset. ## My Vehicle Dataset ``` https://b2n.ir/vehicleDataset ``` ## Contributing 1. Fork it (<https://github.com/MaryamBoneh/Vehicle-Detection>) 2. Create your feature branch (`git checkout -b feature/fooBar`) 3. Commit your changes (`git commit -am 'Add some fooBar'`) 4. Push to the branch (`git push origin feature/fooBar`) 5. Create a new Pull Request
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:85e43923a3cb8331, topic:object-detection, topic:yolo
matched fp:85e43923a3cb8331, topic:deep-learning
matched fp:85e43923a3cb8331, topic:fine-tuning, readme:fine-tuning, readme:fine tuning
matched fp:85e43923a3cb8331, topic:dataset, readme:dataset